Data Engineer II

Data Engineer II

Join to apply for the Data Engineer II role at Core Weave

Core Weave is The Essential Cloud for AI™. Built for pioneers by pioneers, Core Weave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.

The Data Engineering team builds foundational datasets and analytics services that enable BI and data science across Core Weave. We aim to democratize insights and foster a culture where data-driven decision-making thrives at every level of the organization.

We’re seeking a skilled Data Engineer to develop foundational data models that empower our Business Intelligence engineers, analysts, and data scientists to efficiently work with and gain insights from our data. You’ll create and maintain star and snowflake schemas within our lakehouse environment, generate key datasets and metrics essential to tracking business health, and optimize the flow and storage of data to support analytical workloads across the organization.

• Hands‑on experience applying Kimball modeling principles to large datasets
• Expertise with analytical table/file formats such as Iceberg, Hudi, Parquet, Avro, and ORC
• Proven experience optimizing MPP databases (Star Rocks, Snowflake, Big Query, Redshift)
• 3–5+ years of programming experience in Python, Java, or Scala in a professional setting
• Advanced SQL skills, with the ability to write, optimize, and debug complex queries
• Hands‑on experience with Airflow for batch orchestration and distributed computing frameworks like Spark or Flink
• Experience managing systems deployed on Kubernetes is highly desirable, but not required

• Experience designing and optimizing large‑scale data pipelines
• Strong understanding of data lakehouse architectures and analytics workflows

We Believe In Investing In Our People And Value Candidates Who Bring Their Own Diverse Experiences To Our Teams – Even If You Aren’t a 100% Skill Or Experience Match. Here Are a Few Qualities We’ve Found Compatible With Our Team

• You love designing and optimizing data models for analytics
• You’re curious about building efficient, scalable data pipelines
• You’re an expert in turning complex data into actionable business insights

At Core Weave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you won’t want to miss. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best‑in‑Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, growth opportunities within the organization are constantly expanding.

The base salary range for this role is $109,000 to $160,000. The starting salary will be determined based on job‑related knowledge, skills, experience, and market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

• Medical, dental, and vision insurance – 100% paid for by Core Weave
• Company‑paid Life Insurance
• Voluntary supplemental life insurance
• Short and long‑term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family‑Forming support provided by Carrot
• Paid Parental Leave Flexible, full‑service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

We prioritize a hybrid work environment, but remote work may be considered for candidates located more than 30 miles from an office, based on…